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A Method for Estimating the Surface Roughness of Rock Discontinuities

机译:一种估计岩石不连续面粗糙度的方法

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摘要

The primary objective of this study is to develop a parameter with a clear physical meaning to estimate the surface roughness of rock discontinuities. This parameter must be closely related to the shear strength of rock discontinuities. The first part of this study focuses on defining and computing this parameter. The estimation formula for the shear strength of a triangle within a discontinuity surface is derived based on Patton's model. The parameter, namely, the index of roughness (I-R), is then proposed to quantitatively estimate discontinuity roughness. Based on laser scanning techniques, digital models of discontinuities and discontinuity profiles are constructed, and then their corresponding I-R values are computed. In the second part of this study, the computational processes and estimated effects of the two-dimensional (2D) and three-dimensional (3D) I-R values of the discontinuities are illustrated through several applications. Results show that the 2D and 3D I-R values of these discontinuities indicate anisotropy and sampling interval effects. In addition, a strong linear correlation is detected between I-R and the joint roughness coefficient (JRC) for seventy-four profiles and eleven discontinuity specimens, respectively. Finally, the proposed method, back analysis method, root mean square (Z(2)) method, and Grasselli's method are compared to study the use of the parameter I-R.
机译:这项研究的主要目的是开发一个具有明确物理意义的参数,以估计岩石不连续面的粗糙度。该参数必须与岩石不连续面的抗剪强度密切相关。本研究的第一部分着重于定义和计算该参数。基于Patton模型推导了不连续面内三角形抗剪强度的估算公式。然后提出参数,即粗糙度指数(I-R),以定量估计不连续性粗糙度。基于激光扫描技术,构造了不连续性和不连续性轮廓的数字模型,然后计算了它们对应的I-R值。在本研究的第二部分中,通过几种应用说明了不连续性的二维(2D)和三维(3D)I-R值的计算过程和估计效果。结果表明,这些不连续性的2D和3D I-R值指示各向异性和采样间隔效应。此外,分别在74个轮廓和11个间断样本中,在I-R和接头粗糙度系数(JRC)之间检测到强线性相关性。最后,比较了所提出的方法,反分析方法,均方根(Z(2))方法和Grasselli方法,以研究参数I-R的使用。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第3期|9835341.1-9835341.14|共14页
  • 作者单位

    China Univ Geosci, Fac Engn, Wuhan 430074, Peoples R China;

    China Univ Geosci, Fac Engn, Wuhan 430074, Peoples R China;

    China Univ Geosci, Fac Engn, Wuhan 430074, Peoples R China;

    China Univ Geosci, Fac Engn, Wuhan 430074, Peoples R China;

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